Hypothesis Testing
Significance
Power
Probability and Sampling Distributions
Z-Tests
100

States that there is no relationship between 2 variables. 

What is Null Hypothesis?

100

The percent chance that our results are due to chance/sampling error. 

What is significance/p-value?

100

The likelihood of detecting an effect if it exists. 

What is power?

100

The three things needed to calculate a z-score for a sampling distribution:

What is the sample mean?

What is the population mean?

What is the standard error?

100

What a z-test does.

What is compare a sample mean and a population mean?

200

States that there is a relationship between 2 variables. 

What is Alternative Hypothesis?

200

A false positive. 

Rejecting the Null when we shouldn't. 

What is Type 1 Error?

200

The probability of type 2 error.

What is beta?

200

A measure of how many standard deviations a raw score is away from the mean. 

What is a z-score?

200

What we must do to the alpha for a two-tailed z-test. 

What is divide by 2?

300

The critical value marks the ________

What is the significance cutoff?

300

A statistically significant result reported in the wrong direction.

What is Type 3 Error?

300

The cutoff for power.

What is .2?

300

The three things required to calculate a z-score:

What is a raw score?

What is the mean of the dataset?

What is the standard deviation of the dataset?

300

The four things required for a z-test:

What is a sample mean?

What is a population mean?

What is the population SD?

What is the sample size?

400
The four steps to hypothesis testing:

What is list hypotheses?

What is identify critical values?

What is calculate the test statistic?

What is report results?

400

The probability of a type 1 error. 

What is alpha?

400

The closer power is to _____, the more likely an analysis is to return significant results if they exist. 

What is 1?

400

The mean of a sampling distribution.

What is the true population mean?

400

Results are considered statistically significant when:

The z-obtained exceeds the z-critical.

500

The area a score must fall to be statistically significant.

What is the region of rejection?

500

A false negative.

Failing to reject the Null when we should reject it. 

What is Type 2 Error?

500

__________ is more likely to obtain a Null result, even if a significant result exists.

What is an underpowered analysis?

500

An infinite number of sample means plotted on a normal curve. 

What is sampling distribution of the mean?

500

The four assumptions of a z-test:

What is a continuous dependent variable?

What is normality?

What is randomness?

What is known population parameters?